Extinction Risk Research Articles

Seed production in a dioecious subcanopy conifer tree Taxus baccata: the positive effect of neighboring males and female heterozygosity

ABSTRACT Seed production is known to reveal high individual variation in tree populations, shaping regeneration and competition patterns. In isolated populations, individual variation in seed production drives genetic drift and inbreeding, increasing the risk of local extinction. In this study, we investigated the variation in seed production within a natural remnant population of a dioecious conifer, Taxus baccata. The observed individual seed counts were highly variable and showed excessive zeros. The observed zeros were well explained by the small trunk circumference and the absence of neighboring males. Non-zero seed counts increased with female trunk circumference, neighboring male circumference, and female heterozygosity. In addition, seed production decreased with elevation, presumably reflecting water availability at the site. We did not observe an effect of canopy closure but, since trunk circumference showed a strong relationship with canopy closure, light availability may indirectly influence seed production by determining resources available for reproduction. Overall, the study shows that seed production in yew is strongly pollen-limited. However, for similarly sized and pollen-supplemented trees, seed production may be further determined by an individual genotype and micro-environmental factors. Whether the observed variation in seed production drives density-dependent effects (e.g. mortality) in recruited seedlings remains a matter for future studies.

The complete female mitogenome of Potomida semirugata (Lamarck, 1819)

Freshwater mussels perform important ecological functions in ecosystems, such as water filtration and energy cycling. Unlike marine bivalves, freshwater mussels have unique characteristics including internal fertilization and parental care. Some freshwater mussels are facing a high risk of extinction due to several factors such as climate change and habitat loss. Potomida semirugata (Lamarck, 1819) is one of the freshwater mussel species with a high risk of extinction and listed as Endangered in the Red List of the International Union for Conservation of Nature. Here, we present the first F-type mitogenome sequence of P. semirugata. The genome was sequenced on an Illumina high-throughput platform from a P. semirugata specimen collected from the Tersakan River (Turkey). The 16,093 bp mitochondrial genome sequence contains 13 protein-coding genes, 22 transfer RNAs, and two ribosomal RNAs. Phylogenetic analysis placed P. semirugata in the Lamprotulini clade with Potomida littoralis, as expected. Potomida semirugata is a poorly studied species and the genomic resource provided here will contribute to a better understanding of its biological characterization.

Investigating the effects of landscape productivity on the spatial ecology of a threatened marsupial inside feral predator exclosures

AbstractLandscape productivity and resource dispersion are key drivers of the movement patterns of many species. In less productive environments, home ranges are generally larger as individuals travel further to access resources. The greater bilby (Macrotis lagotis) has been reintroduced to several feral predator exclosures to reduce their extinction risk. Understanding how landscape productivity and resource dispersion influence bilby space use is critical to enable effective management of populations in exclosures. At two exclosures, we tested three hypotheses: 1. Bilbies would preferentially utilize habitats with sandy substrates (<20% clay content), as they are suitable for digging burrows and foraging pits; 2. Home ranges would be larger at the arid site compared to the semi‐arid site due to lower productivity and patchier distribution of preferred habitats; and 3. Bilbies would travel further each night at the arid site to access preferred habitats. Rainfall was used as an indicator of productivity, and dispersion of preferred habitats as an indicator of resource dispersion. The study was undertaken during average rainfall conditions and under similar bilby population densities at both sites. GPS loggers recorded home ranges and movements of 10 bilbies at the arid site, and 11 bilbies at the semi‐arid site. Seventeen of the 21 bilbies preferentially utilized habitats with sandy substrates, which were less abundant at the arid site. There were no significant differences in home range size or nightly movements between the sites for either sex. We suggest the average rainfall conditions at both sites, and the dietary flexibility of bilbies, supported the maintenance of relatively small and stable home ranges (particularly for females). The effects of landscape productivity and resource dispersion on bilby space use are more likely to be evident during extended periods of below average rainfall. Bilby home range studies during low rainfall conditions (e.g. drought) are required for the effective, long‐term management of exclosure populations.

Using comparative extinction risk analysis to prioritize the IUCN Red List reassessments of amphibians

AbstractAssessing the extinction risk of species based on the International Union for Conservation of Nature (IUCN) Red List (RL) is key to guiding conservation policies and reducing biodiversity loss. This process is resource demanding, however, and requires continuous updating, which becomes increasingly difficult as new species are added to the RL. Automatic methods, such as comparative analyses used to predict species RL category, can be an efficient alternative to keep assessments up to date. Using amphibians as a study group, we predicted which species are more likely to change their RL category and thus should be prioritized for reassessment. We used species biological traits, environmental variables, and proxies of climate and land‐use change as predictors of RL category. We produced an ensemble prediction of IUCN RL category for each species by combining 4 different model algorithms: cumulative link models, phylogenetic generalized least squares, random forests, and neural networks. By comparing RL categories with the ensemble prediction and accounting for uncertainty among model algorithms, we identified species that should be prioritized for future reassessment based on the mismatch between predicted and observed values. The most important predicting variables across models were species’ range size and spatial configuration of the range, biological traits, climate change, and land‐use change. We compared our proposed prioritization index and the predicted RL changes with independent IUCN RL reassessments and found high performance of both the prioritization and the predicted directionality of changes in RL categories. Ensemble modeling of RL category is a promising tool for prioritizing species for reassessment while accounting for models’ uncertainty. This approach is broadly applicable to all taxa on the IUCN RL and to regional and national assessments and may improve allocation of the limited human and economic resources available to maintain an up‐to‐date IUCN RL.

Evaluating sustainability of Thalictrum petaloideum L., a peripheral population in Korea

Conservation of rare plants, both at the national level and the regional level is important to maintain and conserve plant diversity. This study focused on Thalictrum petaloideum L., an endangered species, for which the Korean peninsula represents the rear edge of the global distribution. T. petaloideum is distributed in isolated populations across four regions. Yeongwol, in Gangwon, had the largest extent of distribution (27,663 m2), the highest number of sub-populations (204), and the highest total population size (87,681), followed by Danyang, in Chungbuk (3970 m2/28/10,285), Samcheok, in Gangwon (3390 m2/13/3871), and Yeosu, in Jeolanam (800 m2/10/816), in descending order. The most stable population structure was found in Yeongwol. Yeosu was found to have the most unstable population structure and the highest risk of extinction. To ensure the sustainability of the population in Yeosu, artificial management of climbing plants, such as Pueraria lobata, is recommended to maintain spaces suitable for regeneration. In Yeongwol, the population is likely to be sustained over a long period. The maintenance of traditional graveyards is necessary to ensure the population’s sustainability. Further studies should assess the genetic characteristics of each regional population for an in-depth characterization of plant distribution on the Korean peninsula.

Isolation management to protect threatened native galaxiid fish species: Lessons from Aotearoa New Zealand

Abstract The use of barriers in freshwater systems to mitigate invasions, known as isolation management, has been increasingly implemented as a protection strategy for native fish. Barriers are crucial for securing vulnerable populations, but much remains to be learnt about the drivers of success and the implications of deliberate fragmentation. In Aotearoa‐New Zealand, henceforth Aotearoa, native non‐migratory galaxiid (NMG) fishes are characterized by a disproportionate number of threatened species with introduced salmonids (trout) identified as a key driver of NMG declines. We conducted a qualitative review of barriers protecting NMG in Aotearoa, illustrating varying outcomes and current knowledge gaps with case studies. Barrier types ranged from natural bedrock waterfalls, shallow velocity chutes and drying reaches to deliberately engineered structures (known commonly as exclusion barriers). Barriers were typically located in headwater streams or spring systems. NMG species secured by fragmentation often have high conservation value and barriers are essential for their protection. Despite the critical role of these barriers, the isolated NMG populations above them are at risk of stochastic extirpation, invasion, or re‐invasion. Exclusion barriers may restrict access to habitat for native migratory fish species and can sometimes alter or remove ideal mesohabitat from protected populations. Overall, when using exclusion barriers, managers must assess extinction risk for individual populations by isolation or invasion, balancing benefits and consequences. However, these assessments are frequently based on incomplete data and hindered by lack of general understanding of the underpinning processes. Despite well‐documented benefits to NMG population survival, key knowledge gaps such as long‐term viability of isolated populations, combinations of physical barrier parameters conferring exclusion under all flow regimes and extent of habitat loss to other native species still exist.

Population genomics and distribution modeling revealed the history and suggested a possible future of the endemic Agave aurea (Asparagaceae) complex in the Baja California Peninsula.

Agaves are an outstanding arid-adapted group of species that provide a unique chance to study the influence of multiple potential factors (i.e., geological and ecological) on plant population structure and diversification in the heterogeneous environment of the Baja California Peninsula. However, relatively little is known about the phylogeography of the endemic agave species of this region. Herein, we used over 10,000 single-nucleotide polymorphisms (SNPs) and spatial data from the Agave aurea species complex (i.e., A. aurea ssp. aurea, A. aurea ssp. promontorii, and A. aurea var. capensis) to resolve genetic relationships within this complex and uncover fine-scale population structure, diversity patterns, and their potential underlying drivers. Analyses resolved low genetic structure within this complex, suggesting that A. aurea is more likely to represent several closely related populations than separate species or varieties/subspecies. We found that geographical and historical ecological characteristics-including precipitation, latitude, and past climatic fluctuations-have played an important role in the spatial distribution of diversity and structure in A. aurea. Finally, species distribution modeling results suggested that climate change will become critical in the extinction risk of A. aurea, with the northernmost population being particularly vulnerable. The low population genetic structure found in A. aurea is consistent with agave's life history, and it is probably related to continuity of distribution, relatively low habitat fragmentation, and dispersion by pollinators. Together, these findings have important implications for management and conservation programs in agave, such as creating and evaluating protected areas and translocating and augmentation of particular populations.

Response of the subalpine bunchgrasses to wildfires and its effects in the relative abundance of the volcano rabbit in the Ajusco-Chichinautzin Mountain Range.

The volcano rabbit (Romerolagus diazi) is a lagomorph endemic to the central mountains of the Trans-Mexican Volcanic Belt and is classified as threatened at extinction risk. It is a habitat specialist in bunchgrass communities. The annual wildfires that occur throughout its distribution range are a vulnerability factor for the species. However, the effects of wildfires on volcano rabbit populations are not fully understood. We evaluated the occupancy and change in the volcano rabbit relative abundance index in the burned bunchgrass communities of the Ajusco-Chichinautzin Mountain Range during an annual cycle of wildfire events. Additionally, we assessed the factors that favor and limit occupation and reoccupation by the volcano rabbit using the relative abundance index in burned plots as an indicator of these processes. The explanatory factors for the response of the volcano rabbit were its presence in the nearby unburned bunchgrasses, the height of three species of bunchgrass communities, the proportion of different types of vegetation cover within a 500 m radius around the burned plots, heterogeneity of the vegetation cover, and the extent of the wildfire. Statistical analyses indicated possible reoccupation in less than a year in burned bunchgrass communities adjacent to unburned bunchgrass communities with volcano rabbits. The relative abundance index of volcano rabbits was not favored when the maximum height of the Muhlenbergia macroura bunchgrass community was less than 0.77 m. When the vegetation around the burned plots was dominated by forest (cover >30% of the buffer) and the fire was extensive, the number of latrines decreased per month but increased when the bunchgrass and shrub cover was greater around the burned plots. While the statistical results are not conclusive, our findings indicate a direction for future projects, considering extensive monitoring to obtain a greater number of samples that contribute to consolidating the models presented.

Assessing the extinction risk of the spontaneous flora in urban tree bases.

As the spatial arrangement of trees planted along streets in cities makes their bases potential ecological corridors for the flora, urban tree bases may be a key contributor to the overall connectivity of the urban ecosystem. However, these tree bases are also a highly fragmented environment in which extinctions are frequent. The goal of this study was to assess the plant species' ability to survive and spread through urban tree bases. To do so, we developed a Bayesian framework to assess the extinction risk of a plant metapopulation using presence/absence data, assuming that the occupancy dynamics was described by a Hidden Markov Model. The novelty of our approach is to take into account the combined effect of low-distance dispersal and the potential presence of a seed bank on the extinction risk. We introduced a metric of the extinction risk and examined its performance over a wide range of metapopulation parameters. We applied our framework to yearly floristic inventories carried out in 1324 tree bases in Paris, France. While local extinction risks were generally high, extinction risks at the street scale varied greatly from one species to another. We identified 10 plant species that could survive and spread through urban tree bases, and three plant traits correlated with the extinction risk at the metapopulation scale: the maximal height, and the beginning and end of the flowering period. Our results suggest that some plant species can use urban tree bases as ecological corridors despite high local extinction risks by forming a seed bank. We also identified other plant traits correlated with the ability to survive in tree bases, related to the action of gardeners. Moreover, our findings demonstrate that our Bayesian estimation framework based on percolation theory has the potential to be extended to more general metapopulations.

Predicting the Global Extinction Risk for 6569 Species by Applying the Life Cycle Impact Assessment Method to the Impact of Future Land Use Changes

Land use change is considered to be one of the key direct drivers of ecosystem erosion and biodiversity loss. The Life Cycle Impact Assessment (LCIA) serves as a robust tool for environmental impact assessment, featuring an advanced framework and indicators for assessing global biodiversity loss. In this research, we utilized the Species Distribution Model (SDM) to evaluate 6569 species across five taxonomic groups. We simulated habitat change and losses induced by land use changes under sustainable future scenarios from the present to 2100. This enables us to assess spatial extinction risks based on shifts in the global distribution of species. Our findings reveal a global biodiversity extinction risk of approximately 4.9 species/year, equivalent to an extinction rate of 745.9 E/MSY. Notably, higher-risk hotspots have been identified in regions such as South America, South Australia, and New Zealand. Although future sustainable scenarios involving land intensification may mitigate the biodiversity extinction rate, the objective of reaching 10 E/MSY by the end of this century remains a distant goal. By providing a more rational basis for biodiversity loss, the indicators of spatial extinction risk demonstrate the advantage of effectively reflecting regional characteristics.

Population genomics of the endangered freshwater mussel, Arcidens wheeleri (Unionoidea: Unionidae: Anodontini), in the Little River, Arkansas, USA

ABSTRACT North America is a hotspot of freshwater mussel diversity. However, over the last century, many anthropogenic stressors have led to substantial declines in freshwater mussels of the families Unionidae and Margaritiferidae in North America. Conserving the remaining mussel fauna is a priority, as they play an integral role in freshwater ecosystems. The Little River in Arkansas is home to one of the last remaining populations of the federally endangered freshwater mussel, Arcidens wheeleri (Unionidae: Anodontini). Population dynamics information is lacking for A. wheeleri, and no population genetics study has been conducted on this species. A greater understanding of the genetic diversity within a population can serve as a benchmark for developing an effective management plan. We sampled A. wheeleri from three locations in the Little River. Genomic data were generated with a single-enzyme restriction-site-associated DNA sequencing approach to assess genetic diversity and structure of A. wheeleri in the Little River. Genetic structure analyses indicated one genetic population among the three locations, with limited, fine-scale subpopulation structure. Observed heterozygosity values were considerably lower than expected heterozygosity values, with Ho = 0.14 and He = 0.22, likely indicating a genetic bottleneck. Demographic analysis of the Little River population of A. wheeleri also suggests a historical bottleneck. Furthermore, a high inbreeding coefficient (FIS = 0.33) indicates A. wheeleri in the Little River is losing genetic diversity. Data generated indicate considerable risk of extirpation for A. wheeleri from the Little River and should serve as a baseline for future monitoring. Given its high risk of extinction, we recommend increased study of A. wheeleri across its range and on-the-ground conservation actions that include habitat protection and restoration, which are the only options until a successful host fish and protocols are identified for propagation.

Phylogeography of the Intertidal Limpet Lottia dorsuosa (Mollusca: Gastropoda: Lottiidae).

We investigated geographic, genetic, and morphological variations in the intertidal limpet Lottia dorsuosa, a species with a broad distribution across Japan. A total of 98 specimens were obtained from 36 locations spanning the entire Japanese Archipelago, encompassing both the northern and southern regions. Examination of mitochondrial COI sequences revealed a distinct geographic genetic structure, delineating three prominent clades: (1) the Kuroshio Current, (2) the Tsushima Current, and (3) the Ryukyu-China groups. The observed geographical structuring between the Pacific and Sea of Japan side mirror patterns was noted in previously studied species, such as Turbo sazae and Batillaria attramentaria. Within L. dorsuosa, the Kuroshio Current group exhibited a substantial genetic distance, reaching a maximum of 12.35%, when compared to the more closely linked Tsushima Current and Ryukyu-China groups. Compared to other groups, the Ryukyu and China groups represented relatively recent differentiations, and the former group is currently facing a heightened risk of extinction owing to its sparse population density. The emergence of intraspecific geographic structures is likely attributable to the comparatively brief planktonic larval stage, which is a common characteristic of patellogastropod limpets.

Modelling decisions and density dependence in monarch butterflies: A comment on Meehan and Crossley (2023)

Abstract Decisions about which processes to include in a population model can have substantial impact on estimates of population trends and extinction risk. This is particularly important for species of conservation concern, whose conservation status is decided in part on the basis of these models. In their recent paper, Meehan and Crossley (2023) Insect Conservation and Diversity, 16, 566–573 revisit a time series of overwintering monarch butterfly abundances, which previous assessments had characterised as rapidly declining and at risk of extinction. The authors, in contrast, reported no evidence for declines in the past 10 years and characterised extinction risk as low. A primary reason for the difference between these conclusions was that Meehan and Crossley used a more complex model that included a parameter for density dependence. While negative density dependence may play a role in monarch population regulation, there are a variety of unresolved issues with how and if density dependence should be included in models of monarch populations, including widely known issues with separating observation error from density dependence in noisy time series and taxon‐specific issues with fitting models to data surveyed every fourth generation and pooled at continental scales. These issues make the conclusions of Meehan and Crossley about monarch population viability much less robust than implied in their article. They do not provide convincing evidence that density dependence reduces extinction risk in monarch butterflies. Our commentary supports their general conclusion that population viability projections depend on model assumptions, but the ways in which monarch butterfly populations are regulated remains an open question.

A metric for tradable biodiversity credits quantifying impacts on global extinction risk

AbstractThe difficulty in identifying appropriate metrics for the impacts organizations have on biodiversity remains a major barrier to the inclusion of biodiversity considerations in environmentally responsible investment. We derive and analyze a simple metric: the sum of the proportional changes in the global abundances of species caused by an organization, with a regularization to cover the case of species close to extinction. We argue mathematically that this metric quantifies changes in the mean long‐term global survival probability of species. The metric thus supports the objective “to significantly reduce extinction risk” of the 2022 Global Biodiversity Framework and allows organizations to set themselves corresponding science‐based targets. We show that in a perfect market trade in biodiversity credits quantified by our metric would lead to near‐optimal allocation of resources to species conservation. We further show that metric values are quantitatively convertible to several other metrics and indices already in use. Barriers to adoption are therefore low. Used in conjunction with metrics addressing ecosystem services and integrity, potential areas of application include biodiversity related financial disclosures and voluntary or legislated biodiversity credit or no net loss policies.

A global map of species at risk of extinction due to natural hazards

An often-overlooked question of the biodiversity crisis is how natural hazards contribute to species extinction risk. To address this issue, we explored how four natural hazards, earthquakes, hurricanes, tsunamis, and volcanoes, overlapped with the distribution ranges of amphibians, birds, mammals, and reptiles that have either narrow distributions or populations with few mature individuals. To assess which species are at risk from these natural hazards, we combined the frequency and magnitude of each natural hazard to estimate their impact. We considered species at risk if they overlapped with regions where any of the four natural hazards historically occurred (n = 3,722). Those species with at least a quarter of their range subjected to a high relative impact were considered at high risk (n = 2,001) of extinction due to natural hazards. In total, 834 reptiles, 617 amphibians, 302 birds, and 248 mammals were at high risk and they were mainly distributed on islands and in the tropics. Hurricanes (n = 983) and earthquakes (n = 868) affected most species, while tsunamis (n = 272), and volcanoes (n = 171) affected considerably fewer. The region with the highest number of species at high risk was the Pacific Ring of Fire, especially due to volcanoes, earthquakes, and tsunamis, while hurricane-related high-risk species were concentrated in the Caribbean Sea, Gulf of Mexico, and northwestern Pacific Ocean. Our study provides important information regarding the species at risk due to natural hazards and can help guide conservation attention and efforts to safeguard their survival.

Fungi and deadwood diversity: A test of the area‐heterogeneity trade‐off hypothesis

Abstract Environmental heterogeneity is one of the most fundamental drivers of species diversity. For decades, ecologists have suggested that heterogeneity–diversity relationships are generally positive. But today, a greater variety of heterogeneity–diversity relationships is discussed. In this study, we contrasted two hypotheses for wood‐inhabiting fungi: The classical heterogeneity–diversity hypothesis, which predicts positive relationships due to an increase in niche dimensionality with increasing heterogeneity. And the more recently stated area‐heterogeneity trade‐off hypothesis, that predicts a unimodal pattern due to an inherent trade‐off between the number of occupied niches and the effective area per species. It allows positive and negative relationships only as special cases. We sampled 3715 deadwood objects on 135 plots along a forest structure gradient in the Black Forest, Germany, and recorded 284 wood‐inhabiting fungal species. To assess heterogeneity of deadwood structures, we calculated two multidimensional structural diversity indices: Structural richness was used as a measure of available niche space, and structural divergence as a measure of multivariate variance within that niche space. Those indices were then related to species richness estimates for rare, common and dominant species using the framework of Hill numbers. We found a linear, positive effect of structural richness and a unimodal effect for structural divergence on estimated species diversity. Structural richness, but not structural divergence, was strongly correlated with the number of sampled deadwood objects. No clear differences between the responses of rare, common and dominant species to the two heterogeneity gradients were found. We also estimated the mean abundance as a proxy for mean population size, which decreased significantly with structural richness but was non‐significantly related to structural divergence. Synthesis. In general, the results of this study suggest a unimodal heterogeneity–diversity relationship for deadwood‐inhabiting fungi and are thereby in line with the area‐heterogeneity trade‐off hypothesis. Thus, the negative effect of heterogeneity should lead to lower species richness and a higher risk of stochastic extinctions at high levels of heterogeneity. However, as deadwood amount and deadwood diversity are often strongly correlated, we argue that the positive effect of resource availability on species richness may mask the negative effect of structural heterogeneity in some cases.

Assessing Reptile Conservation Status under Global Climate Change

Global climate change drives variations in species distribution patterns and affects biodiversity, potentially increasing the risk of species extinction. Investigating the potential distribution range of species under future global climate change is crucial for biodiversity conservation and ecosystem management. In this study, we collected distributional data for 5282 reptile species to assess their conservation status based on distributional ranges using species distribution models. Our predictions indicate that the potential distribution ranges for over half of these species are projected to decrease under different scenarios. Under future scenarios with relatively low carbon emissions, the increase in the number of threatened reptiles is significantly lower, highlighting the importance of human efforts. Surprisingly, we identified some endangered species that are projected to expand their distribution ranges, underscoring the potential positive effects of climate change on some special species. Our findings emphasize the increased extinction risk faced by reptile species due to climate change and highlight the urgent need to mitigate the effects of habitat degradation and human activities on their potential distribution in the future.

Small translocations of endangered Gallinula galeata sandvicensis (Hawaiian Common Gallinule) may be sufficient to generate a viable reintroduced population

Abstract Where stable source populations of at-risk species exist, translocation may be a reasonable strategy for re-establishing extirpated populations. However, the success rates of such efforts are mixed, necessitating thorough preliminary investigation. Stochastic population modeling can be a useful method of assessing the potential success of translocations. Here, we report on the results of modeling translocation success for the Gallinula galeata sandvicensis or ‘alae ‘ula (Hawaiian Common Gallinule), an endangered waterbird endemic to the Hawaiian Islands. Using updated vital rates, we constructed a model simulating 3 existing extant (wild) source populations and a hypothetical recipient site on another island. We then projected the effects of 6 different translocation scenarios and sensitivity of the results to variation of three important demographic parameters on the probability of extinction (PE) of the reintroduced and donor populations. Larger translocations, of at least 30 birds, had low probability of extinction in the reintroduced population, but raised extinction risk of the smallest source population. Spacing out translocations in time (e.g., 10 birds translocated in total in 3 installments over 9 years), led to lower PE than translocating all individuals at once (i.e., bulk translocations) for both the source and reintroduced populations. Brood size and hatch-year juvenile survival had a disproportionate impact on reintroduced population viability. Importantly, the reported juvenile survival rate is very near the threshold for population failure. This suggests that post-introduction and subsequent management of wetlands, particularly predator control, could be critical to reintroduction success. We recommend that individuals should be translocated from multiple, genetically distinct subpopulations to reduce the possibility of inbreeding depression. Based on this analysis, the recipient wetland should be sufficiently large that it can support at least 25 pairs of gallinules. Based on recent estimates of population densities on O‘ahu, such a wetland would need to be between 3.75 and 74.6 ha.

Thirty years of conservation breeding: Assessing the genetic diversity of captive Livingstone's fruit bats.

Fruit bats (genus Pteropus) are typically island-endemic species important in seed dispersal and reforestation that are vulnerable to increased extinction risk. An effective method of reducing extinction risk in vulnerable species that cannot be conserved in their native habitat is establishing an ex-situ captive breeding programme. Due to anthropogenic threats and low population numbers, in the early 1990s, a captive breeding programme was established at Jersey Zoo, British Isles, for Critically Endangered Livingstone's fruit bats (Pteropus livingstonii). Here we use six polymorphic microsatellite loci to assess genetic diversity in the captive breeding population of Livingstone's fruit bats (P. livingstonii), 30 years after the programme's establishment, investigating change over generations and comparing our findings with published data from the wild population. We found no significant difference between the genetic diversity in the captive and wild populations of Livingstone's fruit bats (P. livingstonii), in both expected heterozygosity and allelic richness. The captive population has retained a comparable level of genetic diversity to that documented in the wild, and there has been no significant decline in genetic diversity over the last 30 years. We advise that a full pedigree of the paternal lineage is created to improve the management of the captive breeding programme and further reduce the possibility of inbreeding. However, it appears that the captive breeding programme is currently effective at maintaining genetic diversity at levels comparable to those seen in the wild population, which suggests reintroductions could be viable if genetic diversity remains stable in captivity.

The Contribution of Genetic and Genomic Tools in Diversity Conservation: The Case of Endemic Plants of Greece

The conservation of endemic plant species has come into the global spotlight, not only because of their contribution to biodiversity but also their vulnerability and high extinction risk due to environmental and anthropogenic threats. Based on these developments, it is now essential to monitor and protect these species by applying integrated conservation strategies, especially in view of climate change, which is one of the most severe threats to plants. Genetic and genomic tools provide new potential in assessing and quantifying genetic diversity and thus can be utilized to devise conservation strategies and contribute to biodiversity conservation efforts. Greece comprises a plant biodiversity hotspot in the Mediterranean Basin with a wide variety of rare, threatened, and endemic plant taxa. In this review, we examine several cases where a broad spectrum of genetic tools has been utilized so far in the diversity assessment and conservation management of Greek Endemic Plants (GEPs). Following an extensive database search, we have identified and included in our final data collection 19 studies concerning 32 GEPs for which molecular markers have been used for the determination of population genetic structure and diversity assessment, while at the same time, the research outcomes have been taken into consideration for conservation management. The limited application of genetic and genomic tools in GEP management is demonstrated, while the significance of implementing a comprehensive conservation strategy that will integrate genetic analyses and the data derived therein is also highlighted.